{"id":"https://openalex.org/W3080501557","doi":"https://doi.org/10.1145/3394486.3412862","title":"Learning to Simulate Human Mobility","display_name":"Learning to Simulate Human Mobility","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080501557","doi":"https://doi.org/10.1145/3394486.3412862","mag":"3080501557"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3412862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3412862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100668035","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0003-3279-7117"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728275","display_name":"Zeyu Yang","orcid":"https://orcid.org/0000-0002-7232-5678"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Yang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062365263","display_name":"Fengli Xu","orcid":"https://orcid.org/0000-0002-5720-4026"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Xu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067974656","display_name":"Haisu Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisu Yu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633213","display_name":"Mudan Wang","orcid":"https://orcid.org/0009-0000-4628-2048"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mudan Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":32.3813,"has_fulltext":false,"cited_by_count":134,"citation_normalized_percentile":{"value":0.99774977,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3426","last_page":"3433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10298","display_name":"Urban Transport and Accessibility","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.9314171075820923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8482369184494019},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.7679319381713867},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6200371980667114},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.6142100691795349},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.577948808670044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5394270420074463},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45624035596847534},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4151093363761902},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3846268057823181},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.31657910346984863},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.1626572608947754}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9314171075820923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8482369184494019},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.7679319381713867},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6200371980667114},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.6142100691795349},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.577948808670044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5394270420074463},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45624035596847534},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4151093363761902},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3846268057823181},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31657910346984863},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.1626572608947754},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3412862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3412862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1626398438","https://openalex.org/W1964461063","https://openalex.org/W1974395471","https://openalex.org/W1982300822","https://openalex.org/W1987228002","https://openalex.org/W2044023374","https://openalex.org/W2099471712","https://openalex.org/W2117149360","https://openalex.org/W2119717200","https://openalex.org/W2136317921","https://openalex.org/W2172211955","https://openalex.org/W2385600359","https://openalex.org/W2513226432","https://openalex.org/W2539781657","https://openalex.org/W2581637843","https://openalex.org/W2617955281","https://openalex.org/W2741460999","https://openalex.org/W2768200721","https://openalex.org/W2788114581","https://openalex.org/W2808478781","https://openalex.org/W2890686416","https://openalex.org/W2902816655","https://openalex.org/W2906052655","https://openalex.org/W2962760235","https://openalex.org/W2963277051","https://openalex.org/W2963403868","https://openalex.org/W2963654596","https://openalex.org/W2964268978","https://openalex.org/W3011892127","https://openalex.org/W3014866318","https://openalex.org/W3022210384","https://openalex.org/W3031124855","https://openalex.org/W3038256886","https://openalex.org/W6738623367"],"related_works":["https://openalex.org/W4280544492","https://openalex.org/W2953246223","https://openalex.org/W4293320219","https://openalex.org/W4283584549","https://openalex.org/W3110074278","https://openalex.org/W2910435382","https://openalex.org/W3080501557","https://openalex.org/W2611636294","https://openalex.org/W2774941429","https://openalex.org/W4317547658"],"abstract_inverted_index":{"Realistic":[0],"simulation":[1,26],"of":[2,6,11,75,114,120,134,163,199,203,214],"a":[3,64,90,139,148],"massive":[4],"amount":[5],"human":[7,56,76,107],"mobility":[8,25,45,77,149,161,186,205],"data":[9,46,206,217],"is":[10],"great":[12],"use":[13],"in":[14,42,55,80,106,197,210],"epidemic":[15],"spreading":[16,213],"modeling":[17,95],"and":[18,35,52,166,173],"related":[19],"health":[20],"policy-making.":[21],"Existing":[22],"solutions":[23],"for":[24,143],"can":[27],"be":[28],"classified":[29],"into":[30],"two":[31,184],"categories:":[32],"model-based":[33,82,121],"methods":[34],"model-free":[36,65],"methods,":[37,122],"which":[38,69],"are":[39],"both":[40],"limited":[41],"generating":[43],"high-quality":[44],"due":[47],"to":[48,100,129,137,152,169,175,229],"the":[49,72,81,85,98,102,111,115,118,131,144,154,160,171,178,201,211],"complicated":[50,103],"transitions":[51,105],"complex":[53],"regularities":[54,162],"mobility.":[57,108],"To":[58,109],"solve":[59],"this":[60],"problem,":[61],"we":[62,88,123,146,158],"propose":[63],"generative":[66],"adversarial":[67],"framework,":[68,87],"effectively":[70],"integrates":[71],"domain":[73],"knowledge":[74,133],"regularity":[78],"utilized":[79],"methods.":[83],"In":[84],"proposed":[86],"design":[89,124,147],"novel":[91],"self-attention":[92],"based":[93],"sequential":[94],"network":[96,128],"as":[97],"generator":[99,116,172],"capture":[101],"temporal":[104,167],"augment":[110],"learning":[112,179],"power":[113],"with":[117],"advantages":[119],"an":[125],"attention-based":[126],"region":[127],"introduce":[130],"prior":[132],"urban":[135],"structure":[136],"generate":[138],"meaningful":[140],"trajectory.":[141,156],"As":[142],"discriminator,":[145],"regularity-aware":[150],"loss":[151],"distinguish":[153],"generated":[155],"Finally,":[157],"utilize":[159],"spatial":[164],"continuity":[165],"periodicity":[168],"pre-train":[170],"discriminator":[174],"further":[176],"accelerate":[177],"procedure.":[180],"Extensive":[181],"experiments":[182],"on":[183],"real-life":[185],"datasets":[187],"demonstrate":[188],"that":[189],"our":[190,219],"framework":[191,220],"outperforms":[192],"seven":[193],"state-of-the-art":[194],"baselines":[195],"significantly":[196],"terms":[198],"improving":[200],"quality":[202],"simulated":[204,212],"by":[207],"35%.":[208],"Furthermore,":[209],"COVID-19,":[215],"synthetic":[216],"from":[218,223],"reduces":[221],"MAPE":[222],"5%":[224],"~":[225],"10%":[226],"(baseline":[227],"performance)":[228],"2%.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}